Angèle Christin is an assistant professor in the Department of Communication and affiliated faculty in the Sociology Department and Program in Science, Technology, and Society at Stanford University. She studies how algorithms and analytics transform professional values, expertise, and work practices.
Her book, Metrics at Work: Journalism and the Contested Meaning of Algorithms (Princeton University Press) focuses on the case of web journalism, analyzing the growing importance of audience data in web newsrooms in the U.S. and France. Drawing on ethnographic methods, Angèle shows how American and French journalists make sense of traffic numbers in different ways, which in turn has distinct effects on the production of news in the two countries. In a related project, she studied the construction, institutionalization, and reception of predictive algorithms in the U.S. criminal justice system.
In a new project, she examines the paradoxes of algorithmic labor through a study of influencers on YouTube, Instagram, and TikTok.
Angèle received her PhD in Sociology from Princeton University and the EHESS (Paris). She is an affiliate at the Data & Society Research Institute.